At a Glance
- Tasks: Lead data science projects, applying advanced techniques to solve real-world problems.
- Company: Join a forward-thinking company committed to innovation and inclusivity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values continuous learning and ethical AI practices.
- Why this job: Make a significant impact in AI while mentoring the next generation of data scientists.
- Qualifications: Proficiency in programming languages and machine learning libraries is essential.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Own the technical solution lifecycle for data science and AI initiatives, from shaping requirements and defining the solution approach through to implementation support.
- Apply advanced data science and machine learning techniques to solve complex business problems.
- Design, build, and deploy robust, scalable, and maintainable machine learning models into production environments.
- Design and implement MLOps pipelines.
- Contribute to the strategic direction of data science and AI initiatives, identifying new opportunities for innovation and shaping best practices.
- Work closely with clients and internal teams to understand their needs, translate requirements into technical solutions, and communicate findings to non-technical audiences.
- Ensure the ethical and responsible application of AI/ML models.
- Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence.
- Research and evaluate new machine learning algorithms, statistical techniques, and emerging AI technologies.
Qualifications
- Experience with programming languages such as C#, Python, R, and SQL.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
- Implementation knowledge of algorithms and techniques like regression, decision trees, random forest, XGBoost, K-means, anomaly detection, Bayesian theory, and time-series forecasting.
- Understanding of evaluation and explanation techniques in machine learning, e.g. overfitting, bias, cross-validation, LIME, SHAP.
- Experience with data science tools such as Hadoop, Spark, and Hive.
- Experience with data visualization tools such as Tableau and Power BI.
- Experience working with large and complex datasets.
- Knowledge of public sector: understanding of the challenges and opportunities facing public sector organisations, experience working with public sector data, and familiarity with public sector regulations and compliance requirements.
- Must be eligible for security clearance.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Commitment to continuous learning and development.
We are a Disability Confident Employer and are committed to creating an inclusive and diverse environment that celebrates every individual. Our recruitment processes are based on individual merit.
Data Science Manager in Leeds employer: Netcompany UK Limited
As a Data Science Manager at our company, you will thrive in a dynamic and inclusive work culture that prioritises innovation and ethical AI practices. We offer robust employee growth opportunities, including mentorship programmes and continuous learning initiatives, all while working on impactful projects within the public sector. Located in a vibrant area, our organisation is dedicated to fostering a diverse environment where every individual is celebrated and empowered to excel.
